Genetic algorithm optimization applied to the project of MIMO systems

This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding o...

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Bibliographic Details
Published in2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) pp. 1 - 5
Main Authors Leal, Israel A. C., Alencar, Marcelo S., Terllizzie A. Lopes, Waslon
Format Conference Proceeding
LanguageEnglish
Published University of Split, FESB 01.09.2017
Subjects
Antenna arrays
Arrays
data throughput
Genetic algorithms
MIMO
MIMO systems
Optimization
Throughput
Transmitting antennas
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Summary:This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance between the antenna array elements and the number of antennas. Simulation results show an increase of more than 15% in the data throughput considering 4×4 MIMO channels.
ISSN:1847-358X
DOI:10.23919/SOFTCOM.2017.8115541